/*
 *    This program is free software; you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation; either version 2 of the License, or
 *    (at your option) any later version.
 *
 *    This program is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with this program; if not, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    GroovyClassifier.java
 *    Copyright (C) 2009 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.classifiers.scripting;

import java.io.File;
import java.util.Enumeration;
import java.util.Vector;

import weka.classifiers.AbstractClassifier;
import weka.classifiers.Classifier;
import weka.core.Capabilities;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.Option;
import weka.core.OptionHandler;
import weka.core.RevisionUtils;
import weka.core.Utils;
import weka.core.scripting.Groovy;

/**
 <!-- globalinfo-start -->
 * A wrapper class for Groovy code. Even though the classifier is serializable, the trained classifier cannot be stored persistently. I.e., one cannot store a model file and re-load it at a later point in time again to make predictions.
 * <p/>
 <!-- globalinfo-end -->
 *
 <!-- options-start -->
 * Valid options are: <p/>
 * 
 * <pre> -G &lt;filename&gt;
 *  The Groovy module to load (full path)
 *  Options after '--' will be passed on to the Groovy module.</pre>
 * 
 * <pre> -D
 *  If set, classifier is run in debug mode and
 *  may output additional info to the console</pre>
 * 
 <!-- options-end -->
 *
 * Options after "--" will be passed on to the Groovy module.
 * <p/>
 * In order to use <a href="http://groovy.codehaus.org/" target="_blank">Groovy</a>, 
 * the jar containing all the classes must be present in the CLASSPATH. 
 * This jar is normally found in the <i>embeddable</i>
 * sub-directory of the Groovy installation.
 * <p/>
 * Tested with Groovy 1.5.7.
 *
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision: 5987 $
 * @see Groovy
 */
public class GroovyClassifier 
  extends AbstractClassifier {

  /** for serialization. */
  private static final long serialVersionUID = -9078371491735496175L;
  
  /** the Groovy module. */
  protected File m_GroovyModule = new File(System.getProperty("user.dir"));

  /** the options for the Groovy module. */
  protected String[] m_GroovyOptions = new String[0];

  /** the loaded Groovy object. */
  transient protected Classifier m_GroovyObject = null;

  /**
   * default constructor.
   */
  public GroovyClassifier() {
    super();
  }
  
  /**
   * Returns a string describing classifier.
   * 
   * @return 		a description suitable for
   * 			displaying in the explorer/experimenter gui
   */
  public String globalInfo() {
    return 
        "A wrapper class for Groovy code. Even though the classifier is "
      + "serializable, the trained classifier cannot be stored persistently. "
      + "I.e., one cannot store a model file and re-load it at a later point "
      + "in time again to make predictions.";
  }

  /**
   * Returns an enumeration describing the available options.
   *
   * @return 		an enumeration of all the available options.
   */
  public Enumeration listOptions() {
    Vector result = new Vector();

    result.addElement(new Option(
	"\tThe Groovy module to load (full path)\n"
	+ "\tOptions after '--' will be passed on to the Groovy module.",
	"G", 1, "-G <filename>"));

    Enumeration en = super.listOptions();
    while (en.hasMoreElements())
      result.addElement(en.nextElement());

    return result.elements();
  }

  /**
   * Parses a given list of options.
   * 
   * @param options 	the list of options as an array of strings
   * @throws Exception 	if an option is not supported
   */
  public void setOptions(String[] options) throws Exception {
    String		tmpStr;

    m_GroovyOptions = new String[0];

    tmpStr = Utils.getOption('G', options);
    if (tmpStr.length() != 0)
      setGroovyModule(new File(tmpStr));
    else
      setGroovyModule(new File(System.getProperty("user.dir")));

    setGroovyOptions(Utils.joinOptions(Utils.partitionOptions(options).clone()));

    super.setOptions(options);
  }

  /**
   * Gets the current settings of the Classifier.
   *
   * @return 		an array of strings suitable for passing to 
   * 			setOptions
   */
  public String[] getOptions() {
    Vector<String>	result;
    String[]		options;
    int			i;

    result = new Vector<String>();

    result.add("-G");
    result.add("" + getGroovyModule().getAbsolutePath());

    options = super.getOptions();
    for (i = 0; i < options.length; i++)
      result.add(options[i]);

    if (m_GroovyOptions.length > 0) {
      options = m_GroovyOptions;
      result.add("--");
      for (i = 0; i < options.length; i++)
	result.add(options[i]);
    }

    return result.toArray(new String[result.size()]);
  }

  /**
   * Returns the tip text for this property.
   * 
   * @return		tip text for this property suitable for
   * 			displaying in the explorer/experimenter gui
   */
  public String GroovyModuleTipText() {
    return "The Groovy module to load and execute.";
  }

  /**
   * Sets the Groovy module.
   *
   * @param value 	the Groovy module
   */
  public void setGroovyModule(File value) {
    m_GroovyModule = value;
    initGroovyObject();
  }

  /**
   * Gets the Groovy module.
   *
   * @return 		the Groovy module
   */
  public File getGroovyModule() {
    return m_GroovyModule;
  }

  /**
   * Returns the tip text for this property.
   * 
   * @return		tip text for this property suitable for
   * 			displaying in the explorer/experimenter gui
   */
  public String GroovyOptionsTipText() {
    return "The options for the Groovy module.";
  }

  /**
   * Sets the Groovy module options.
   *
   * @param value 	the options
   */
  public void setGroovyOptions(String value) {
    try {
      m_GroovyOptions = Utils.splitOptions(value).clone();
      initGroovyObject();
    }
    catch (Exception e) {
      m_GroovyOptions = new String[0];
      e.printStackTrace();
    }
  }

  /**
   * Gets the Groovy module options.
   *
   * @return 		the options
   */
  public String getGroovyOptions() {
    return Utils.joinOptions(m_GroovyOptions);
  }

  /**
   * Returns default capabilities of the classifier.
   *
   * @return		the capabilities of this classifier
   */
  public Capabilities getCapabilities() {
    Capabilities	result;

    if (m_GroovyObject == null) {
      result = new Capabilities(this);
      result.disableAll();
    } else {
      result = m_GroovyObject.getCapabilities();
    }

    result.enableAllAttributeDependencies();
    result.enableAllClassDependencies();

    return result;
  }

  /**
   * tries to initialize the groovy object and set its options.
   */
  protected void initGroovyObject() {
    try {
      if (m_GroovyModule.isFile())
	m_GroovyObject = (Classifier) Groovy.newInstance(m_GroovyModule, Classifier.class);
      else
	m_GroovyObject = null;
      
      if (m_GroovyObject != null)
	((OptionHandler)m_GroovyObject).setOptions(m_GroovyOptions.clone());
    }
    catch (Exception e) {
      m_GroovyObject = null;
      e.printStackTrace();
    }
  }

  /**
   * Generates the classifier.
   *
   * @param instances 	set of instances serving as training data 
   * @throws Exception	if the classifier has not been generated successfully
   */
  public void buildClassifier(Instances instances) throws Exception {
    if (!Groovy.isPresent())
      throw new Exception("Groovy classes not in CLASSPATH!");

    // try loading the module
    initGroovyObject();

    // build the model
    if (m_GroovyObject != null)
      m_GroovyObject.buildClassifier(instances);
    else
      System.err.println("buildClassifier: No Groovy object present!");
  }

  /**
   * Classifies a given instance.
   *
   * @param instance	the instance to be classified
   * @return 		index of the predicted class
   * @throws Exception 	if an error occurred during the prediction
   */
  public double classifyInstance(Instance instance) throws Exception {
    if (m_GroovyObject != null)
      return m_GroovyObject.classifyInstance(instance);
    else
      return Utils.missingValue();
  }

  /**
   * Calculates the class membership probabilities for the given test instance.
   *
   * @param instance	the instance to be classified
   * @return 		predicted class probability distribution
   * @throws Exception	if class is numeric
   */
  public double[] distributionForInstance(Instance instance) throws Exception {
    if (m_GroovyObject != null)
      return m_GroovyObject.distributionForInstance(instance);
    else
      return new double[instance.numClasses()];
  }

  /**
   * Returns a description of the classifier.
   *
   * @return 		a description of the classifier as a string.
   */
  public String toString() {
    if (m_GroovyObject != null)
      return m_GroovyObject.toString();
    else
      return "No Groovy module loaded.";
  }
  
  /**
   * Returns the revision string.
   * 
   * @return		the revision
   */
  public String getRevision() {
    return RevisionUtils.extract("$Revision: 5987 $");
  }

  /**
   * Main method for testing this class.
   *
   * @param args 	the options
   */
  public static void main(String [] args) {
    runClassifier(new GroovyClassifier(), args);
  }
}
